# com.app-dex/appdex

> com.app-dex/appdex — com-app-dex-appdex. Use this tool when you need to estimate iOS App Store revenue and downloads with confidence labels, solving problems such as market research, competitor analysis, and revenue forecasting. It takes app identifiers as input and outputs estimated revenue and download numbers with associated confidence levels. Ideal for use cases requiring data-driven insights into iOS app performance and market trends.

Canonical page: https://skillsregistry.net/skills/com-app-dex-appdex  
JSON: https://api.skillsregistry.net/v1/skills/com-app-dex-appdex

## Description

iOS App Store revenue & download estimates with confidence labels

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.app-dex%2Fappdex)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-app-dex-appdex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-app-dex-appdex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-app-dex-appdex/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt